Root Cause Analysis

Root cause is an element that brought about nonconformance and ought to be eliminated by process improvement. Root cause analysis is an aggregate term that depicts variety of methodologies, instruments, and systems used to uncover causes of the problems. The root cause is the evil at the base; that sets the complete cause and effect chain causing the problem (s).

Some of the root cause analysis methodologies are particularly designed for distinguishing root causes main drivers; some are solving of critical techniques, while others offer support for activities of root cause analysis. By becoming familiar with the underlying root cause techniques toolbox, you will have the capacity to apply the suitable tool to address particular issue.

Quality, safety, risk, reliability managers, process engineers, personnel, occurrence investigators, maintenance managers, reliability professionals, and anyone from manufacturing and the service sector that are looking at improving their problem solving recurring ability.

IKL Certificate

Typical problems with RCA

• Why most critical thinking models don't get to the root cause, and don’t get the answer to it
• How systematic and critical thinking be isolated and integrated
• Difference amongst process thinking and the content

Problem Definition

• How it can be ensured that the problem on which work is done is the right one
• Filters and tools for setting the priority
• Developing clear and precise problem statement

Understanding The Process

• How each of the issue is process failure
• How SIPOC outline can set the limits and characterize interrelationships
• Using flowcharts to penetrate down into the correct part of the process (incorporates practices)

Identifying Possible Causes

• Five methods for identifying the causes
• Three preferences for the section or elimination of causes
• Logic trees as circumstances and end results outline on steroids (incorporates practices)

Data Collection

• Population versus sampling; options for sampling
• Checking graphs, tables and sheets for data collection
• Surveys, interviews and field observation for the precise data

Data Analysis

• Different tools for discrete data analysis (charts, histograms, modified scatter plot)
• Tools for softer type data (affinity diagram, relationship digraph)
• Tools for integrative data analysis

Incidents/Events and Human Error

• How incident/accident analysis is different
• Causes and solutions for human error

Facilitation Skills

• Process facilitation versus content expert
• Facilitation roles and intervention choices

The Rest of The Problem Solving Process

• Identification and selection of solutions
• Importance of the issues of the organizational change
• Models for the understanding of resistance and planning change
• Implementation and follow-up

Management/Organizational Issues affecting RCA Projects

• Cognitive biases affecting root cause analysis
• Organizational culture impact
• Structures/roles supporting root cause analysis

Statistical Hypothesis Testing and MS Excel

• What is being done through t, F, and ANOVA tests
• How it can be done in MS Excel
• Using chi-square for data count

Drilling Down With Data

• Looking at differences as 3+ dimensional space
• How major components of variation can be sliced
• Which tools can be used for comparing the data

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